RiSE PhD internship in drug metabolism, pharmacokinetics and modeling and simulation (6 months)

Job description

·  Job facts

Pharmaceutical Sciences (PS) is a global function within Roche Pharma Research and Early Development (pRED). We enable discovery and early development of drug candidates in a rich portfolio of small molecules, large molecules, oligonucleotides and gene therapies in oncology, immunology, neuroscience, ophthalmology, rare and infectious diseases.

In the DMPK/PD leaders department we provide innovative drug metabolism and pharmacokinetics (DMPK) and translational PK/PD strategies to the entire pRED portfolio, bridging from in-silico and in-vitro systems or pre-clinical species into humans,from early discovery all the way through to registration and beyond. We currently are looking for a highly motivated student to join our group for PhD internship.

In this position, you will:

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Develop a database of in vivo pharmacokinetic studies in rodents and humans for small molecule drugs using Roche in-house and literature data

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Develop machine learning property predictions based on chemical structural features

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Develop physiologically based models to predict pharmacokinetics in vivo in rodents and humans leveraging the properties predicted with the machine learning models

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Lead the drafting of scientific publications on the work performed

Who we are

At Roche, 98,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we've become one of the world's leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

Roche is an equal opportunity employer.

Desired profile

Who you are

You are an enrolled student in a PhD program (or recently finished) with a focus in pharmacy, pharmaceutical sciences, biomedical sciences, engineering, drug sciences and/or medicine.

Moreover you are/have:

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Basic knowledge of pharmacokinetic and pharmacodynamic principles

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Basic knowledge of physiologically-based pharmacokinetic modeling

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Basic knowledge of chemistry and/or structure activity relationships

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Basic knowledge of machine learning, optimization, deep learning, reinforcement learning

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Proficient in R, Python, Matlab or any other programing/scripting language for data analysis

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Good analytical skills

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A pro-active knowledge sharer with excellent organizational skills

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Proficient in english

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Preferably some experience in a research environment

The starting date of this internship is flexible upon availability. Please indicate your earliest availability from September 2020

Applications need to include a CV and a motivation letter.

Due to regulations non-EU/EFTA citizens must provide a certificate from the university stating that an internship is mandatory as part of the application documents.

Tags: RiSEDiSc

Roche is an equal opportunity employer.
Research & Development, Research & Development > Pharmacology

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